From 0ae2618eba2fcc89114acb5e187728404d738e9c Mon Sep 17 00:00:00 2001 From: Luciano Paz Date: Sun, 10 Nov 2024 06:35:54 +0100 Subject: [PATCH] Avoid flakyness of GP Latent Vs Marginal introduced by chol numerics --- tests/gp/test_gp.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/gp/test_gp.py b/tests/gp/test_gp.py index 9265dd415f0..d6b2bf7a041 100644 --- a/tests/gp/test_gp.py +++ b/tests/gp/test_gp.py @@ -377,7 +377,7 @@ def testLatentMultioutput(self): cov_func = pm.gp.cov.ExpQuad(3, [0.1, 0.2, 0.3]) mean_func = pm.gp.mean.Constant(0.5) latent_gp = pm.gp.Latent(mean_func=mean_func, cov_func=cov_func) - latent_f = latent_gp.prior("f", X, n_outputs=n_outputs, reparameterize=True) + latent_f = latent_gp.prior("f", X, n_outputs=n_outputs, reparameterize=False) latent_p = latent_gp.conditional("p", Xnew) with pm.Model() as marginal_model: